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Blockchain: A Practical Guide to Developing Business, Law, and Technology Solutions

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Develop, validate, and deploy powerful decentralized applications using blockchain 


Get the most out of cutting-edge blockchain technology using the hands-on information contained in this comprehensive resource. Written by a team of technology and legal experts, Blockchain: A Practical Guide to Developing Business, Law, and Technology Solutions demonstrates each topic through a start-to-finish, illustrated case study. The book includes financial, technology, governance, and legal use cases along with advantages and challenges. Validation, implementation, troubleshooting, and best practices are fully covered. You will learn, step-by-step, how to build and maintain effective, reliable, and transparent blockchain solutions.


•Understand the fundamentals of decentralized computing and blockchain •Explore business, technology, governance, and legal use cases •Review the evolving practice of law and technology as it concerns legal and governance issues arising from blockchain implementation •Write and administer performant blockchain-enabled applications •Handle cryptographic validation in private, public, and consortium blockchains •Employ blockchain in cloud deployments and Internet of Things (IoT) devices •Incorporate Web 3.0 features with Swarm, IPFS, Storj, Golem, and WHISPER •Use Solidity to build and validate fully functional distributed applications and smart contracts using Ethereum •See how blockchain is used in crypto-currency, including Bitcoin and Ethereum •Overcome technical hurdles and secure your decentralized IT platform


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Machine Learning and Security: Protecting Systems with Data and Algorithms
Machine Learning and Security: Protecting Systems with Data and Algorithms

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security...

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Cracking Codes with Python: An Introduction to Building and Breaking Ciphers

Learn how to program in Python while making and breaking ciphers—algorithms used to create and send secret messages! 

After a crash course in Python programming basics, you’ll learn to make, test, and hack programs that encrypt text with classical ciphers like the transposition cipher and Vigenère
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IoT Security Issues
IoT Security Issues

IoT Security Issues looks at the burgeoning growth of devices of all kinds controlled over the Internet of all varieties, where product comes first and security second. In this case, security trails badly. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problem, investigating the stack...


Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python
Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

About This Book

  • A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices
  • Get to grips with the basics of Predictive...
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TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Python: Data Analytics and Visualization
Python: Data Analytics and Visualization

Understand, evaluate, and visualize data About This Book - Learn basic steps of data analysis and how to use Python and its packages - A step-by-step guide to predictive modeling including tips, tricks, and best practices - Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for...

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